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AI safety practitioners invest considerable resources in AI system evaluations, but these investments may be wasted if evaluations fail to realize their impact. This paper questions the core value proposition of evaluations: that they…

计算机与社会 · 计算机科学 2024-08-06 Gabriel Mukobi

Understanding public perception of artificial intelligence (AI) and the tradeoffs between potential risks and benefits is crucial, as these perceptions might shape policy decisions, influence innovation trajectories for successful market…

计算机与社会 · 计算机科学 2025-08-21 Philipp Brauner , Felix Glawe , Gian Luca Liehner , Luisa Vervier , Martina Ziefle

Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors which could be reasonably understood from patient-reported information. This raises novel ethical concerns about respect, privacy, and control…

As AI systems proliferate in society, the AI community is increasingly preoccupied with the concept of AI Safety, namely the prevention of failures due to accidents that arise from an unanticipated departure of a system's behavior from…

计算机与社会 · 计算机科学 2024-01-23 Inioluwa Deborah Raji , Roel Dobbe

It is curious that AI increasingly outperforms human decision makers, yet much of the public distrusts AI to make decisions affecting their lives. In this paper we explore a novel theory that may explain one reason for this. We propose that…

计算机与社会 · 计算机科学 2022-08-03 Bran Knowles , Jason D'Cruz , John T. Richards , Kush R. Varshney

The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations. Even though AI is…

计算机与社会 · 计算机科学 2022-02-16 Virginia Dignum

Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes, which if harnessed appropriately, can contribute to advancements in various sectors, from healthcare to economics. However, its black box nature…

In this work, we present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. We suggest that both the frequency and the seriousness of future AI failures will steadily increase. AI…

人工智能 · 计算机科学 2016-10-26 Roman V. Yampolskiy , M. S. Spellchecker

AI risks are typically framed around physical threats to humanity, a loss of control or an accidental error causing humanity's extinction. However, I argue in line with the gradual disempowerment thesis, that there is an underappreciated…

计算机与社会 · 计算机科学 2025-03-31 Joshua Krook

Artificial Intelligence (AI) technology epitomizes the complex challenges posed by human-made artifacts, particularly those widely integrated into society and exerting significant influence, highlighting potential benefits and their…

人工智能 · 计算机科学 2025-10-06 Michael Papademas , Xenia Ziouvelou , Antonis Troumpoukis , Vangelis Karkaletsis

Recent developments in AI have brought broader attention to tensions between two overlapping communities, "AI Ethics" and "AI Safety." In this article we (i) characterize this false binary, (ii) argue that a simple binary is not an accurate…

计算机与社会 · 计算机科学 2024-09-24 Thorin Bristow , Luke Thorburn , Diana Acosta-Navas

Could an AI have conscious experiences? Any answer to this question should conform to Evidentialism - that is, it should be based not on intuition, dogma or speculation but on solid scientific evidence. I argue that such evidence is hard to…

人工智能 · 计算机科学 2025-12-22 Tom McClelland

This paper examines the systemic risks posed by incremental advancements in artificial intelligence, developing the concept of `gradual disempowerment', in contrast to the abrupt takeover scenarios commonly discussed in AI safety. We…

计算机与社会 · 计算机科学 2025-01-30 Jan Kulveit , Raymond Douglas , Nora Ammann , Deger Turan , David Krueger , David Duvenaud

This paper argues that a range of current AI systems have learned how to deceive humans. We define deception as the systematic inducement of false beliefs in the pursuit of some outcome other than the truth. We first survey empirical…

计算机与社会 · 计算机科学 2023-08-29 Peter S. Park , Simon Goldstein , Aidan O'Gara , Michael Chen , Dan Hendrycks

The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations. AI is changing the way…

计算机与社会 · 计算机科学 2022-05-24 Virginia Dignum

Current efforts in AI safety prioritize filtering harmful content, preventing manipulation of human behavior, and eliminating existential risks in cybersecurity or biosecurity. While pressing, this narrow focus overlooks critical…

计算机与社会 · 计算机科学 2025-07-14 Sanchaita Hazra , Bodhisattwa Prasad Majumder , Tuhin Chakrabarty

Recent advances in artificial intelligence (AI) have achieved human-scale speed and accuracy for classification tasks. In turn, these capabilities have made AI a viable replacement for many human activities that at their core involve…

人工智能 · 计算机科学 2022-05-24 Hadi Esmaeilzadeh , Reza Vaezi

The increasing use of artificial intelligence (AI) systems in our daily life through various applications, services, and products explains the significance of trust/distrust in AI from a user perspective. AI-driven systems (as opposed to…

计算机与社会 · 计算机科学 2024-04-05 Saleh Afroogh , Ali Akbari , Evan Malone , Mohammadali Kargar , Hananeh Alambeigi

As intelligent systems are increasingly making decisions that directly affect society, perhaps the most important upcoming research direction in AI is to rethink the ethical implications of their actions. Means are needed to integrate…

人工智能 · 计算机科学 2017-06-09 Virginia Dignum

An Artificially Intelligent system (an AI) has debatable personhood if it's epistemically possible either that the AI is a person or that it falls far short of personhood. Debatable personhood is a likely outcome of AI development and might…

计算机与社会 · 计算机科学 2023-03-31 Eric Schwitzgebel